Abstract
Millimeter wave (MMW) communication systems are emerging model for satisfying the increased necessity of high data rate of future generation cellular communications. The MMW frequencies give the prospective of increment in magnitude orders in terms of capacity. Though, MMW network links suffers from faster differentiation in quality and vulnerable to blockage. The main intent of this paper is to develop an adaptive beamforming technique of uplink communication in 5G millimeter wave cellular network. This paper optimizes the weight of narrowband in adaptive beamforming for enhancing the performance of MMW communication. Here, the adaptiveness in the beamforning is also accomplished by modifying the weight updating strategy of adaptive beamforming, which is performed by the hybrid meta-heuristic algorithm called Salp-Bird Swarm optimization (S-BSO) using Shark Smell optimization (SSO) and Bird Swarm Algorithm (BSA). The comparison is done over the existing models to prove the effective performance of the proposed adaptive beamforming.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
